影响力指数

70.83/100

前 2.5%

全站排名 #1,598

发表论文13 篇

平均评分6.1

年均产出4.3 篇/年

Eva L Dyer

Associate Professor@University of Pennsylvania, University of Pennsylvania·美国·OpenReview

研究方向

optimal transport · computational neuroscience · timeseries analysis · representation learning · generalization · domain adaptation

PRISM: A Hierarchical Multiscale Approach for Time Series Forecasting

ICLR 2026Rejected

Which Eigenvectors Do Graph Transformers Need for Node Classification?

ICLR 2026Rejected

Generalizable, real-time neural decoding with hybrid state-space models

NeurIPS 2025Poster

Know Thyself by Knowing Others: Learning Neuron Identity from Population Context

NeurIPS 2025Poster

Neural Encoding and Decoding at Scale

ICML 2025Spotlight

Multi-session, multi-task neural decoding from distinct cell-types and brain regions

ICLR 2025Spotlight

In vivo cell-type and brain region classification via multimodal contrastive learning

ICLR 2025Spotlight

A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks

NeurIPS 2025Poster

Generalizable autoregressive modeling of time series through functional narratives

ICLR 2025Rejected

GraphFM: A generalist graph transformer that learns transferable representations across diverse domains

ICLR 2025Withdrawn

合作者 (20)

Cole Lincoln Hurwitz

International Brain Laboratory